Skill Following: Evaluating Actual Skill Use in Retrieval-Enabled LLM Agents
The episode discusses 'Skill Following,' a paper evaluating how AI agents actually use external tools. Hosts conclude that current methods are insufficient because they only check if a skill was called, not if it was used correctly. The focus shifts to measuring procedural correctness and reliable execution plans for real-world deployment.